Role: FDE (23850-1)
Duration: 6-12+ Months Contract
Location: Remote
Must Have Skills
- Design and implement enterprise ontologies, knowledge graphs, metadata graphs, and semantic relationships to establish the PBM System of Intelligence foundation.
- Build and maintain reusable semantic data models, business glossaries, domain taxonomies, and governed business definitions across PBM domains.
- Build and Design Unity Catalog semantic layer - metric views, and certified KPIs and build Databricks Genie Agents
- Model complex PBM business domains including Prior Authorization, Claims, Formulary, Clinical Outcomes, Eligibility, and Member data.
- Design knowledge engineering frameworks, context retrieval models, and AI-ready semantic assets supporting Agentic Analytics and conversational intelligence.
- Develop enterprise metadata, lineage, governance, stewardship, and data quality strategies to ensure trusted and auditable AI responses.
- Architect modern cloud-native data platforms leveraging Databricks, Lakehouse architecture, Delta/Iceberg, federated data access, and domain-oriented data products.
- Collaborate with business SMEs, product teams, and AI engineers to translate tribal knowledge into reusable ontology assets, semantic models, and governed intelligence layers.
Domain Experience (If any) - Good to have healthcare experience
Additional Info regarding SO/R: FDE for the Databricks Genie Agent Build . Databricks resource
Positions (Hands On work is expected from this position)
- Design and implement enterprise ontologies, knowledge graphs, metadata graphs, and semantic relationships to establish the PBM System of Intelligence foundation.
- Build and maintain reusable semantic data models, business glossaries, domain taxonomies, and governed business definitions across PBM domains.
- Build and Design Unity Catalog semantic layer - metric views, and certified KPIs and build Databricks Genie Agents
- Model complex PBM business domains including Prior Authorization, Claims, Formulary, Clinical Outcomes, Eligibility, and Member data.
- Design knowledge engineering frameworks, context retrieval models, and AI-ready semantic assets supporting Agentic Analytics and conversational intelligence.
- Develop enterprise metadata, lineage, governance, stewardship, and data quality strategies to ensure trusted and auditable AI responses.
- Architect modern cloud-native data platforms leveraging Databricks, Lakehouse architecture, Delta/Iceberg, federated data access, and domain-oriented data products.
- Collaborate with business SMEs, product teams, and AI engineers to translate tribal knowledge into reusable ontology assets, semantic models, and governed intelligence layers.